The five-year renewal will focus on developing an AI-native edge stack that supports autonomous interaction among users, agents and the physical environment, integrated with national-priority technologies such as quantum computing.
The six-year industry-academia-federal project will combine several emerging technologies to develop the tools and playbook needed to master the next evolution of electronic warfare.
As AI data centers become larger and more powerful, they consume vast amounts of electricity and water, raising critical questions: Can AI become more sustainable?...
Every day, AI tools get more capable, and deployment is outpacing our understanding of what they get wrong. Duke Engineering Dean Jerry Lynch connects with...
Featuring David Smith
Featuring Amanda Randles
Featured conference speakers include General Charles Q. Brown (Ret), NSA Deputy Director Tim Kosiba, Congresswoman Deborah Ross and Congresswoman Valerie Foushee.
Sep 18 8:00 am-8:00 pm
Sep 14
September 14-20 is Duke undergraduate students’ chance to discover the people, programs, and tools that can help them thrive at Duke. Throughout the week, there will be opportunities to connect […]
East Campus
Sep 14
Dr. Wenpin Hou’s research lies at the intersection of computational biology, artificial intelligence, and statistical genomics, with a focus on developing computational methods to understand gene regulation using single-cell, spatial, […]
12:00 pm French Family Science Center 4233
Sep 14
Take a break with Pint-Sized Pasture & GSPS! It’s week four of the fall semester, and it’s time for a little break! The Graduate Student Programs & Services (GSPS) team […]
12:00 pm
![Every day, AI tools get more capable, and deployment is outpacing our understanding of what they get wrong. In Episode 1 of Pratt Blueprint, Duke Engineering Dean Jerry Lynch connects with three Duke University experts to break down where that gap is already showing up: in cybersecurity, in the everyday AI tools people use to get advice, and in health care.Charley Kneifel, AVP and Chief Technology Officer for Duke's Office of Information Technology, explains how generative AI has compressed the time between a discovered vulnerability and a working exploit from months to under a day, and breaks down how deepfaked identity documents have become sophisticated enough to fool routine identity verification processes across higher ed and beyond.Brinnae Bent, Executive in Residence at Duke's Pratt School of Engineering and Director of the Duke TRUST Lab, explains why the same human preference data that makes chatbots feel helpful also makes them sycophantic, and points to a widely reported case of a pregnant woman wrongfully arrested after a facial recognition misidentification, to show what happens when a black box system fails and no one can explain why.Jessilyn Dunn, Theodore Kennedy Associate Professor of Biomedical Engineering at Duke, walks through how bias baked into training data gets perpetuated in clinical AI tools, and why clinicians are more likely to double-check an alarming AI output than a reassuring one, even when the reassuring one is wrong. The overarching narrative is AI earns trust by appearing competent, and that appearance of competence is exactly when human verification tends to collapse. Dean Lynch closes the episode on why judgment, not just technical skill, has to be part of how the next generation of engineers is trained.Chapters:0:00 AI Risks in 20261:01 The judgement gap2:05 Cybersecurity4:05 Why AI is trained to please you7:02 Using AI in healthcare9:23 The takeawayLearn more about our guests: Charley Kneifel: [https://oit.duke.edu/profile/charley-kneifel/]Brinnae Bent: [https://scholars.duke.edu/person/brinnae.bent]Jessilyn Dunn: [https://scholars.duke.edu/person/Jessilyn.Dunn]Duke University | Pratt School of Engineering | https://pratt.duke.eduSubscribe for future episodes of Pratt Blueprint.](https://pratt.duke.edu/wp-content/plugins/youtube-feed-pro/img/placeholder.png)